Two-stage algorithm for reconstructing the images of the gravitational lens QSO 2237+0305статья
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Аннотация:A two-stage algorithm for reconstructing images made up of point sources is proposed and applied to images of the gravitational lens QSO 2237+0305 obtained with the 1.5-m telescope of the Maidanak Observatory. In the first stage, a modified Tikhonov regularization algorithm is used to split an image with a high signal-to-noise ratio into two parts, corresponding to numerical galaxy and quasar components. In the second stage, the astrometric and photometric characteristics of the individual images of the gravitational-lens system are determined using information about the brightness distribution in the galaxy and a least-squares fit. The two-stage algorithm substantially reduces the time required for the image analysis. A comparison of our method with CLEAN is presented. (C) 2004 MAIK “Nauka/Interperiodica”.